89 bayesian-object-detection positions at MOHAMMED VI POLYTECHNIC UNIVERSITY in Morocco
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. The main objective of the project is to study the interaction between machine learning and wireless communication fields. The successful candidate will answer questions such as how to assign limited
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mathematical models to analyze and optimize waste flows. Optimization Techniques: Familiarity with advanced optimization techniques, including linear, non-linear, multi-objective, or stochastic optimization
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systems including fault detection, diagnosis, and performance improvement methods. Mastery of dynamic reconfiguration approaches. Mastery of power converters. Mastery of software tools including MATLAB
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the expected research objectives. We seek highly motivated individuals that can propose solutions applicable in the industrial setting and develop innovative methods of testing the proposed solutions in-lab
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Green Process Engineering Department (CBS) is a component of the Mohammed VI Polytechnic University (UM6P). The main objective of CBS is to set up a distinctive research-teaching program, of international
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. The main objective of CBS is to set up a distinctive research-teaching program of international level, in order to meet the research and teaching challenges of UM6P, in particular on green and environmental
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. The main objective of CBS is to set up a distinctive research-teaching program of international level, in order to meet the research and teaching challenges of UM6P, in particular on green and environmental
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such as air quality monitoring, water leak detection and energy monitoring of electric vehicle batteries. The candidate will need to master sensor technologies, embedded systems, and communication protocols
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. Collaborate with local and international partners to align research objectives with global sustainability goals. Project management: Contribute to the planning, execution, and reporting of research projects
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while improving the accuracy and minimizing the errors of the land surface model. In this context, the objective of this position is to develop an approach combining an appropriate land surface model with